AI
-
ITHAKA Fall 2026 Community Letter: AI at JSTOR
In the ITHAKA Fall 2026 Community Letter dated September 23, 2026, Kevin Guthrie addresses how artificial intelligence is transforming research and learning while reaffirming that ITHAKA’s mission remains unchanged. AI is altering how people discover, evaluate, and engage with scholarly resources. Researchers and learners increasingly begin with questions rather than keyword searches. They seek conversational…
-
New Resources from FADGI on Content Authenticity and Provenance for AI-impacted Content
The Federal Agencies Digital Guidelines Initiative (FADGI) released two new draft resources open for public comment: “TCR4CAP: Tiered Community Recommendations for Content Authenticity and Provenance, with a focus on LAM collections content impacted by artificial intelligence” and a supporting technical assessment report on audiovisual collections. These aim to help libraries, archives, and museums document authenticity…